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We want to start using an AI note-taker and transcriber to automate our Level 10 Meeting notes and action items, but we are worried this technology will erode human engagement and personal accountability. How do we integrate AI tools responsibly?

Using AI to capture meeting notes can be a massive leverage point, but only if it serves your accountability rather than replacing it. The risk of automated summaries is that team members stop paying attention, assuming the AI will catch everything. This destroys the active listening required for deep IDS® (Identify, Discuss, Solve).

Responsible AI Integration in Level 10 Meetings

To integrate AI into your Level 10 Meetings without losing your edge, follow a few clear rules:

1. AI as Backup, Not Primary Record-Keeper:
• The AI should only be used as a backup, not the primary record-keeper.
• The person responsible for the Integrator seat or a designated coordinator must still physically type the To-Dos and Issues into your meeting software during the meeting. This ensures real-time alignment and verbal agreement on who owns what by the end of the meeting. For more on the Integrator's role, see [how to know it's actually time to hire a dedicated Integrator](/qa/when-to-hire-coo-integrator).

2. Post-Meeting Analysis:
• Use AI tools after the meeting to transcribe the raw audio for deeper analysis.
• This can include looking for patterns in operational bottlenecks or drafting standard operating procedures based on your solutions. You can also use AI to [filter these transcripts specifically for Accountability Chart issues](/qa/filter-meeting-transcripts-accountability-chart-ai).

3. Human Ownership for To-Dos:
• Never let an AI auto-assign a To-Do.
• A human must still verbally accept and own every action item.
• By keeping the ownership human and using the AI strictly for documentation and analysis, you maintain the high-trust, high-accountability environment of a true Level 10 Meeting™.

AI never truly "sits in the room" during the 90-minute Level 10 Meeting. It works before the meeting to prep data, such as for reviewing your [weekly scorecard](/qa/how-to-review-scorecard-under-five-minutes), and after the meeting to capture and track what was decided. The 90 minutes remain human-centric, focusing on your leadership team, the scorecard, the issues list, and the IDS conversation.

Related questions

• [How do we use AI to filter these transcripts specifically for Accountability Chart issues?](/qa/filter-meeting-transcripts-accountability-chart-ai)
• [Should we create a dedicated AI Operations seat on our Accountability Chart, or integrate AI into existing seats?](/qa/ai-operations-seat-accountability-chart)
• [What is the best way to leverage AI to optimize EOS Scorecard metrics and improve accountability?](/qa/ai-in-optimizing-eos-scorecard-metrics-and-accountability)
• [How do I know it is actually time to hire a dedicated Integrator, and what is the first step?](/qa/when-to-hire-coo-integrator)
• [Our Integrator acts as the Level 10 Meeting facilitator but struggles to participate objectively because they are busy managing the timer and the agenda. Should we rotate the facilitator role or hire an outside moderator?](/qa/should-integrator-facilitate-level-10-meetings)

Category: Level 10 Meetings

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